The Future of Remote Sensing: Harnessing the Data Revolution

Dear Colleagues,

The rapid advancement and proliferation of remote sensing technology has led to widespread recognition of its potential to improve the efficiency, reliability, and safety of inspection and monitoring.

The progress of space agencies and research institutes, the advancements in electronics, signal and image processing and computer science, the increasing of number and sensors’ diversity produce an exponential growth of the remote sensing data acquired nowadays. Techniques where a large group of individuals, having mobile devices capable of sensing and computing, collectively share data, as for example crowdsensing, contribute significantly to this amount increasing, named data revolution.

Due to the explosive developments in sensing, geospatial sensors started to produce an increasing amount of data, and soon Big Data have become a reality. Cloud computing has gained dominance and nearly unlimited processing and storage capacity are offered. Very large computers are also widely available, providing the base for massive processing. It is important to emphasize that the real potential of harnessing data revolution is the capability to extract additional information that has not been feasible in the past.

We would like to invite you to submit articles about your recent research with respect to the following or similar topics.

New Sensors:

Laser, Earth Polychromatic Imaging Camera, for Visual Odometry, for ka-band altimetry,…

Sensors integration:

               Data fusion;
               Multispectral remote sensing,
               Combination of large, small and micro-satellites...

Big data,

               Parallel computing,
               Machine learning perspective:
               Data mining, multi-criteria decision-making, multivariate models for prediction,….

Cloud computing,

               Data Integration,
               Data Organization and Management,
               Programming Technologies for Data Processing.

New applications,

               Augmented reality (AR) and virtual reality (VR) systems,
               Improved bathymetric mapping of coasts and lakes,
               Massive datasets for understanding the big problems facing society,
               Changes detection,
               Events tracking,
               Improving localization in urban canyons,
               GNSS-reflectometry,
               Satellite based augmentation systems…

New algorithms,

               for simultaneous localization and mapping (SLAM),
               for data and image processing…

Prof. Alexandru Isar
Guest Editor

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